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ElectroEncephaloGraphics: Making Waves in Computer Graphics Research

机译:脑电图:在计算机图形学研究中掀起波澜

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摘要

Electroencephalography (EEG) is a novel modality for investigating perceptual graphics problems. Until recently, EEG has predominantly been used for clinical diagnosis, in psychology, and by the brain-computer-interface community. Researchers are extending it to help understand the perception of visual output from graphics applications and to create approaches based on direct neural feedback. Researchers have applied EEG to graphics to determine perceived image and video quality by detecting typical rendering artifacts, to evaluate visualization effectiveness by calculating the cognitive load, and to automatically optimize rendering parameters for images and videos on the basis of implicit neural feedback.
机译:脑电图(EEG)是一种用于研究知觉图形问题的新型方法。直到最近,脑电图已主要用于心理学和脑机接口领域的临床诊断。研究人员正在扩展它,以帮助理解来自图形应用程序的视觉输出,并创建基于直接神经反馈的方法。研究人员已将EEG应用于图形,以通过检测典型的渲染伪像来确定感知的图像和视频质量,通过计算认知负荷来评估可视化效果,并基于隐式神经反馈自动优化图像和视频的渲染参数。

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